openai.php
920 lines
| 1 | <?php |
| 2 | |
| 3 | class Meow_MWAI_Engines_OpenAI |
| 4 | { |
| 5 | private $core = null; |
| 6 | private $localApiKey = null; |
| 7 | private $localService = null; |
| 8 | |
| 9 | // OpenAI Server |
| 10 | private $openaiEndpoint = 'https://api.openai.com/v1'; |
| 11 | |
| 12 | // Azure Server |
| 13 | private $localAzureEndpoint = null; |
| 14 | private $localAzureApiKey = null; |
| 15 | private $localAzureDeployments = null; |
| 16 | private $azureApiVersion = 'api-version=2023-03-15-preview'; |
| 17 | |
| 18 | // Streaming |
| 19 | private $streamTemporaryBuffer = ""; |
| 20 | private $streamContent = ""; |
| 21 | private $streamFunctionCall = null; |
| 22 | private $streamParameter = ""; |
| 23 | private $streamCallback = null; |
| 24 | private $streamedTokens = 0; |
| 25 | |
| 26 | public function __construct( $core ) |
| 27 | { |
| 28 | $this->core = $core; |
| 29 | $this->localService = $this->core->get_option( 'openai_service' ); |
| 30 | $this->localApiKey = $this->core->get_option( 'openai_apikey' ); |
| 31 | $this->localAzureEndpoint = $this->core->get_option( 'openai_azure_endpoint' ); |
| 32 | $this->localAzureApiKey = $this->core->get_option( 'openai_azure_apikey' ); |
| 33 | $this->localAzureDeployments = $this->core->get_option( 'openai_azure_deployments' ); |
| 34 | $this->localAzureDeployments[] = [ 'model' => 'dall-e', 'name' => 'dall-e' ]; |
| 35 | } |
| 36 | |
| 37 | |
| 38 | // Check for a JSON-formatted error in the data, and throw an exception if it's the case. |
| 39 | function check_for_error( $data ) { |
| 40 | if ( strpos( $data, '"error"' ) !== false ) { |
| 41 | $json = json_decode( $data, true ); |
| 42 | if ( json_last_error() === JSON_ERROR_NONE ) { |
| 43 | $error = $json['error']; |
| 44 | $code = $error['code']; |
| 45 | $message = $error['message']; |
| 46 | throw new Exception( "Error $code: $message" ); |
| 47 | } |
| 48 | } |
| 49 | } |
| 50 | |
| 51 | /* |
| 52 | This used to be in the core.php, but since it's relative to OpenAI, it's better to have it here. |
| 53 | */ |
| 54 | |
| 55 | public function stream_handler( $handle, $args, $url ) { |
| 56 | curl_setopt( $handle, CURLOPT_SSL_VERIFYPEER, false ); |
| 57 | curl_setopt( $handle, CURLOPT_SSL_VERIFYHOST, false ); |
| 58 | |
| 59 | // Maybe we could get some info from headers, as for now, there is only the model. |
| 60 | // curl_setopt( $handle, CURLOPT_HEADERFUNCTION, function( $curl, $headerLine ) { |
| 61 | // $line = trim( $headerLine ); |
| 62 | // return strlen( $headerLine ); |
| 63 | // }); |
| 64 | |
| 65 | curl_setopt( $handle, CURLOPT_WRITEFUNCTION, function ( $curl, $data ) { |
| 66 | $length = strlen( $data ); |
| 67 | |
| 68 | // FOR DEBUG: |
| 69 | // preg_match_all( '/"content":"(.*?)"/', $data, $matches ); |
| 70 | // $contents = $matches[1]; |
| 71 | // foreach ( $contents as $content ) { |
| 72 | // error_log( "Content: $content" ); |
| 73 | // } |
| 74 | |
| 75 | // Error Management |
| 76 | $this->check_for_error( $data ); |
| 77 | |
| 78 | // Bufferize the unfinished stream (if it's the case) |
| 79 | $this->streamTemporaryBuffer .= $data; |
| 80 | $lines = explode( "\n", $this->streamTemporaryBuffer ); |
| 81 | if ( substr( $this->streamTemporaryBuffer, -1 ) !== "\n" ) { |
| 82 | $this->streamTemporaryBuffer = array_pop( $lines ); |
| 83 | } |
| 84 | else { |
| 85 | $this->streamTemporaryBuffer = ""; |
| 86 | } |
| 87 | |
| 88 | foreach ( $lines as $line ) { |
| 89 | if ( $line === "" ) { |
| 90 | continue; |
| 91 | } |
| 92 | if ( strpos($line, 'data: ' ) === 0 ) { |
| 93 | $line = substr( $line, 6 ); |
| 94 | $json = json_decode( $line, true ); |
| 95 | |
| 96 | if ( json_last_error() === JSON_ERROR_NONE ) { |
| 97 | $content = null; |
| 98 | if ( isset( $json['choices'][0]['text'] ) ) { |
| 99 | $content = $json['choices'][0]['text']; |
| 100 | } |
| 101 | else if ( isset( $json['choices'][0]['delta']['content'] ) ) { |
| 102 | $content = $json['choices'][0]['delta']['content']; |
| 103 | } |
| 104 | else if ( isset( $json['choices'][0]['delta']['function_call'] ) ) { |
| 105 | $function_call = $json['choices'][0]['delta']['function_call']; |
| 106 | if ( empty( $this->streamFunctionCall ) ) { |
| 107 | $this->streamFunctionCall = [ 'name' => "", 'arguments' => "" ]; |
| 108 | } |
| 109 | if ( isset( $function_call['name'] ) ) { |
| 110 | $this->streamFunctionCall['name'] .= $function_call['name']; |
| 111 | } |
| 112 | if ( isset( $function_call['arguments'] ) ) { |
| 113 | $this->streamFunctionCall['arguments'] .= $function_call['arguments']; |
| 114 | } |
| 115 | } |
| 116 | if ( $content !== null && $content !== "" ) { |
| 117 | $this->streamedTokens += count( explode( " ", $content ) ); |
| 118 | $this->streamContent .= $content; |
| 119 | call_user_func( $this->streamCallback, $content ); |
| 120 | } |
| 121 | } |
| 122 | else { |
| 123 | $this->streamTemporaryBuffer .= $line . "\n"; |
| 124 | } |
| 125 | } |
| 126 | } |
| 127 | return $length; |
| 128 | }); |
| 129 | } |
| 130 | |
| 131 | private function buildHeaders( $query ) { |
| 132 | $headers = array( |
| 133 | 'Content-Type' => 'application/json', |
| 134 | 'Authorization' => 'Bearer ' . $query->apiKey, |
| 135 | ); |
| 136 | if ( $query->service === 'azure' ) { |
| 137 | $headers = array( 'Content-Type' => 'application/json', 'api-key' => $query->azureApiKey ); |
| 138 | } |
| 139 | return $headers; |
| 140 | } |
| 141 | |
| 142 | private function buildOptions( $headers, $json = null, $forms = null ) { |
| 143 | |
| 144 | // Build body |
| 145 | $body = null; |
| 146 | if ( !empty( $forms ) ) { |
| 147 | $boundary = wp_generate_password ( 24, false ); |
| 148 | $headers['Content-Type'] = 'multipart/form-data; boundary=' . $boundary; |
| 149 | $body = $this->buildFormBody( $forms, $boundary ); |
| 150 | } |
| 151 | else if ( !empty( $json ) ) { |
| 152 | $body = json_encode( $json ); |
| 153 | } |
| 154 | |
| 155 | // Build options |
| 156 | $options = array( |
| 157 | 'headers' => $headers, |
| 158 | 'method' => 'POST', |
| 159 | 'timeout' => MWAI_TIMEOUT, |
| 160 | 'body' => $body, |
| 161 | 'sslverify' => false |
| 162 | ); |
| 163 | |
| 164 | return $options; |
| 165 | } |
| 166 | |
| 167 | public function runQuery( $url, $options, $isStream = false ) { |
| 168 | try { |
| 169 | $options['stream'] = $isStream; |
| 170 | if ( $isStream ) { |
| 171 | $options['filename'] = tempnam( sys_get_temp_dir(), 'mwai-stream-' ); |
| 172 | } |
| 173 | $res = wp_remote_get( $url, $options ); |
| 174 | |
| 175 | if ( is_wp_error( $res ) ) { |
| 176 | throw new Exception( $res->get_error_message() ); |
| 177 | } |
| 178 | |
| 179 | if ( $isStream ) { |
| 180 | return [ 'stream' => true ]; |
| 181 | } |
| 182 | |
| 183 | $response = wp_remote_retrieve_body( $res ); |
| 184 | $headersRes = wp_remote_retrieve_headers( $res ); |
| 185 | $headers = $headersRes->getAll(); |
| 186 | |
| 187 | // If Headers contains multipart/form-data then we don't need to decode the response |
| 188 | if ( strpos( $options['headers']['Content-Type'], 'multipart/form-data' ) !== false ) { |
| 189 | return [ |
| 190 | 'stream' => false, |
| 191 | 'headers' => $headers, |
| 192 | 'data' => $response |
| 193 | ]; |
| 194 | } |
| 195 | |
| 196 | $data = json_decode( $response, true ); |
| 197 | $this->handleResponseErrors( $data ); |
| 198 | |
| 199 | return [ |
| 200 | 'headers' => $headers, |
| 201 | 'data' => $data |
| 202 | ]; |
| 203 | } |
| 204 | catch ( Exception $e ) { |
| 205 | error_log( $e->getMessage() ); |
| 206 | throw $e; |
| 207 | } |
| 208 | } |
| 209 | |
| 210 | private function applyQueryParameters( $query ) { |
| 211 | if ( empty( $query->service ) ) { |
| 212 | $query->service = $this->localService; |
| 213 | } |
| 214 | |
| 215 | // OpenAI will be used by default for everything |
| 216 | if ( empty( $query->apiKey ) ) { |
| 217 | $query->apiKey = $this->localApiKey; |
| 218 | } |
| 219 | |
| 220 | // But if the service is set to Azure and the deployments/models are available, |
| 221 | // then we will use Azure instead. |
| 222 | if ( $query->service === 'azure' && !empty( $this->localAzureDeployments ) ) { |
| 223 | $found = false; |
| 224 | foreach ( $this->localAzureDeployments as $deployment ) { |
| 225 | if ( $deployment['model'] === $query->model && !empty( $deployment['name'] ) ) { |
| 226 | $query->azureDeployment = $deployment['name']; |
| 227 | if ( empty( $query->azureEndpoint ) ) { |
| 228 | $query->azureEndpoint = $this->localAzureEndpoint; |
| 229 | } |
| 230 | if ( empty( $query->azureApiKey ) ) { |
| 231 | $query->azureApiKey = $this->localAzureApiKey; |
| 232 | } |
| 233 | $found = true; |
| 234 | break; |
| 235 | } |
| 236 | } |
| 237 | if ( !$found ) { |
| 238 | error_log( 'Azure deployment not found for model: ' . $query->model ); |
| 239 | $query->service = 'openai'; |
| 240 | } |
| 241 | } |
| 242 | } |
| 243 | |
| 244 | private function getAudio( $url ) { |
| 245 | require_once( ABSPATH . 'wp-admin/includes/media.php' ); |
| 246 | $tmpFile = tempnam( sys_get_temp_dir(), 'audio_' ); |
| 247 | file_put_contents( $tmpFile, file_get_contents( $url ) ); |
| 248 | $length = null; |
| 249 | $metadata = wp_read_audio_metadata( $tmpFile ); |
| 250 | if ( isset( $metadata['length'] ) ) { |
| 251 | $length = $metadata['length']; |
| 252 | } |
| 253 | $data = file_get_contents( $tmpFile ); |
| 254 | unlink( $tmpFile ); |
| 255 | return [ 'data' => $data, 'length' => $length ]; |
| 256 | } |
| 257 | |
| 258 | public function runTranscribeQuery( $query ) { |
| 259 | $this->applyQueryParameters( $query ); |
| 260 | |
| 261 | // Prepare the request. |
| 262 | $modeEndpoint = $query->mode === 'translation' ? 'translations' : 'transcriptions'; |
| 263 | $url = 'https://api.openai.com/v1/audio/' . $modeEndpoint; |
| 264 | |
| 265 | // Check if the URL is valid. |
| 266 | if ( !filter_var( $query->url, FILTER_VALIDATE_URL ) ) { |
| 267 | throw new Exception( 'Invalid URL for transcription.' ); |
| 268 | } |
| 269 | |
| 270 | $audioData = $this->getAudio( $query->url ); |
| 271 | $body = array( |
| 272 | 'prompt' => $query->prompt, |
| 273 | 'model' => $query->model, |
| 274 | 'response_format' => 'text', |
| 275 | 'file' => basename( $query->url ), |
| 276 | 'data' => $audioData['data'] |
| 277 | ); |
| 278 | $headers = $this->buildHeaders( $query ); |
| 279 | $options = $this->buildOptions( $headers, null, $body ); |
| 280 | |
| 281 | // Perform the request |
| 282 | try { |
| 283 | $res = $this->runQuery( $url, $options ); |
| 284 | $data = $res['data']; |
| 285 | if ( empty( $data ) ) { |
| 286 | throw new Exception( 'Invalid data for transcription.' ); |
| 287 | } |
| 288 | $this->check_for_error( $data ); |
| 289 | $usage = $this->core->recordAudioUsage( $query->model, $audioData['length'] ); |
| 290 | $reply = new Meow_MWAI_Reply( $query ); |
| 291 | $reply->setUsage( $usage ); |
| 292 | $reply->setChoices( $data ); |
| 293 | return $reply; |
| 294 | } |
| 295 | catch ( Exception $e ) { |
| 296 | error_log( $e->getMessage() ); |
| 297 | throw new Exception( $e->getMessage() . " (OpenAI)" ); |
| 298 | } |
| 299 | } |
| 300 | |
| 301 | public function runEmbeddingQuery( $query ) { |
| 302 | $this->applyQueryParameters( $query ); |
| 303 | |
| 304 | // Prepare the request |
| 305 | $url = 'https://api.openai.com/v1/embeddings'; |
| 306 | $body = array( 'input' => $query->prompt, 'model' => $query->model ); |
| 307 | if ( $query->service === 'azure' ) { |
| 308 | $url = trailingslashit( $query->azureEndpoint ) . 'openai/deployments/' . |
| 309 | $query->azureDeployment . '/embeddings?' . $this->azureApiVersion; |
| 310 | $body = array( "input" => $query->prompt ); |
| 311 | } |
| 312 | $headers = $this->buildHeaders( $query ); |
| 313 | $options = $this->buildOptions( $headers, $body ); |
| 314 | |
| 315 | // Perform the request |
| 316 | try { |
| 317 | $res = $this->runQuery( $url, $options ); |
| 318 | $data = $res['data']; |
| 319 | if ( empty( $data ) || !isset( $data['data'] ) ) { |
| 320 | throw new Exception( 'Invalid data for embedding.' ); |
| 321 | } |
| 322 | $usage = $data['usage']; |
| 323 | $this->core->recordTokensUsage( $query->model, $usage['prompt_tokens'] ); |
| 324 | $reply = new Meow_MWAI_Reply( $query ); |
| 325 | $reply->setUsage( $usage ); |
| 326 | $reply->setChoices( $data['data'] ); |
| 327 | return $reply; |
| 328 | } |
| 329 | catch ( Exception $e ) { |
| 330 | error_log( $e->getMessage() ); |
| 331 | $service = $query->service === 'azure' ? 'Azure' : 'OpenAI'; |
| 332 | throw new Exception( $e->getMessage() . " ($service)" ); |
| 333 | } |
| 334 | } |
| 335 | |
| 336 | public function runCompletionQuery( $query, $streamCallback = null ) { |
| 337 | $this->applyQueryParameters( $query ); |
| 338 | if ( !is_null( $streamCallback ) ) { |
| 339 | $this->streamCallback = $streamCallback; |
| 340 | add_action( 'http_api_curl', array( $this, 'stream_handler' ), 10, 3 ); |
| 341 | } |
| 342 | if ( $query->mode !== 'chat' && $query->mode !== 'completion' ) { |
| 343 | throw new Exception( 'Unknown mode for query: ' . $query->mode ); |
| 344 | } |
| 345 | |
| 346 | // Prepare the request |
| 347 | $body = array( |
| 348 | "model" => $query->model, |
| 349 | "stop" => $query->stop, |
| 350 | "n" => $query->maxResults, |
| 351 | "max_tokens" => $query->maxTokens, |
| 352 | "temperature" => $query->temperature, |
| 353 | "stream" => !is_null( $streamCallback ), |
| 354 | ); |
| 355 | if ( !empty( $query->functions ) ) { |
| 356 | if ( strpos( $query->model, 'ft:' ) === 0 ) { |
| 357 | throw new Exception( 'OpenAI doesn\'t support Function Calling with fine-tuned models yet.' ); |
| 358 | } |
| 359 | $body['functions'] = $query->functions; |
| 360 | $body['function_call'] = $query->functionCall; |
| 361 | } |
| 362 | if ( $query->mode === 'chat' ) { |
| 363 | $body['messages'] = $query->messages; |
| 364 | } |
| 365 | else if ( $query->mode === 'completion' ) { |
| 366 | $body['prompt'] = $query->getPrompt(); |
| 367 | } |
| 368 | $url = $query->service === 'azure' ? trailingslashit( $query->azureEndpoint ) . |
| 369 | 'openai/deployments/' . $query->azureDeployment : $this->openaiEndpoint; |
| 370 | if ( $query->mode === 'chat' ) { |
| 371 | $url .= $query->service === 'azure' ? '/chat/completions?' . $this->azureApiVersion : '/chat/completions'; |
| 372 | } |
| 373 | else if ($query->mode === 'completion') { |
| 374 | $url .= $query->service === 'azure' ? '/completions?' . $this->azureApiVersion : '/completions'; |
| 375 | } |
| 376 | $headers = $this->buildHeaders( $query ); |
| 377 | $options = $this->buildOptions( $headers, $body ); |
| 378 | |
| 379 | try { |
| 380 | $res = $this->runQuery( $url, $options, $streamCallback ); |
| 381 | $reply = new Meow_MWAI_Reply( $query ); |
| 382 | |
| 383 | // Streamed data |
| 384 | if ( !is_null( $streamCallback ) ) { |
| 385 | $data = [ |
| 386 | 'model' => $query->model, |
| 387 | 'usage' => [ |
| 388 | 'prompt_tokens' => $query->getPromptTokens(), |
| 389 | 'completion_tokens' => $this->streamedTokens |
| 390 | ], |
| 391 | 'choices' => [ |
| 392 | [ |
| 393 | 'message' => [ |
| 394 | 'content' => $this->streamContent, |
| 395 | 'function_call' => $this->streamFunctionCall |
| 396 | ] |
| 397 | ] |
| 398 | ], |
| 399 | ]; |
| 400 | } |
| 401 | // Regular data |
| 402 | else { |
| 403 | $data = $res['data']; |
| 404 | if ( !$data['model'] ) { |
| 405 | error_log( print_r( $data, 1 ) ); |
| 406 | throw new Exception( "Got an unexpected response from OpenAI. Check your PHP Error Logs." ); |
| 407 | } |
| 408 | } |
| 409 | |
| 410 | try { |
| 411 | $usage = $this->core->recordTokensUsage( |
| 412 | $data['model'], |
| 413 | $data['usage']['prompt_tokens'], |
| 414 | $data['usage']['completion_tokens'] |
| 415 | ); |
| 416 | } |
| 417 | catch ( Exception $e ) { |
| 418 | error_log( $e->getMessage() ); |
| 419 | } |
| 420 | $reply->setUsage( $usage ); |
| 421 | $reply->setChoices( $data['choices'] ); |
| 422 | return $reply; |
| 423 | } |
| 424 | catch ( Exception $e ) { |
| 425 | error_log( $e->getMessage() ); |
| 426 | $service = $query->service === 'azure' ? 'Azure' : 'OpenAI'; |
| 427 | throw new Exception( $e->getMessage() . " ($service)" ); |
| 428 | } |
| 429 | } |
| 430 | |
| 431 | // Request to DALL-E API |
| 432 | public function runImagesQuery( $query ) { |
| 433 | $this->applyQueryParameters( $query ); |
| 434 | |
| 435 | // Prepare the request |
| 436 | $url = 'https://api.openai.com/v1/images/generations'; |
| 437 | $body = array( |
| 438 | "prompt" => $query->prompt, |
| 439 | "n" => $query->maxResults, |
| 440 | "size" => '1024x1024', |
| 441 | ); |
| 442 | if ( $query->service === 'azure' ) { |
| 443 | //$url = trailingslashit( $query->azureEndpoint ) . 'dalle/text-to-image?' . $this->azureApiVersion; |
| 444 | $url = trailingslashit( $query->azureEndpoint ) . 'dalle/text-to-image?api-version=2022-08-03-preview'; |
| 445 | $body = array( |
| 446 | "caption" => $query->prompt, |
| 447 | //"n" => $query->maxResults, |
| 448 | "resolution" => '1024x1024', |
| 449 | ); |
| 450 | } |
| 451 | $headers = $this->buildHeaders( $query ); |
| 452 | $options = $this->buildOptions( $headers, $body ); |
| 453 | |
| 454 | // Perform the request |
| 455 | try { |
| 456 | $res = $this->runQuery( $url, $options ); |
| 457 | $data = $res['data']; |
| 458 | $choices = []; |
| 459 | |
| 460 | if ( $query->service === 'azure' ) { |
| 461 | if ( !isset( $res['headers']['operation-location'] ) || !isset( $res['headers']['retry-after'] ) ) { |
| 462 | throw new Exception( 'Invalid response from Azure.' ); |
| 463 | } |
| 464 | $operationLocation = $res['headers']['operation-location']; |
| 465 | $retryAfter = (int)$res['headers']['retry-after']; |
| 466 | $status = $data['status']; |
| 467 | $options = $this->buildOptions( $headers, null ); |
| 468 | $options['method'] = 'GET'; |
| 469 | while ( $status !== 'Succeeded' ) { |
| 470 | sleep( $retryAfter ); |
| 471 | $res = $this->runQuery( $operationLocation, $options ); |
| 472 | $data = $res['data']; |
| 473 | $status = $data['status']; |
| 474 | } |
| 475 | $result = $data['result']; |
| 476 | $contentUrl = $result['contentUrl']; |
| 477 | $choices = [ [ 'url' => $contentUrl ] ]; |
| 478 | |
| 479 | } |
| 480 | else { |
| 481 | // OpenAI returns an array of URLs |
| 482 | $choices = $data['data']; |
| 483 | } |
| 484 | |
| 485 | $reply = new Meow_MWAI_Reply( $query ); |
| 486 | $usage = $this->core->recordImagesUsage( "dall-e", "1024x1024", $query->maxResults ); |
| 487 | $reply->setUsage( $usage ); |
| 488 | $reply->setChoices( $choices ); |
| 489 | $reply->setType( 'images' ); |
| 490 | return $reply; |
| 491 | } |
| 492 | catch ( Exception $e ) { |
| 493 | error_log( $e->getMessage() ); |
| 494 | throw new Exception( $e->getMessage() . " (OpenAI)" ); |
| 495 | } |
| 496 | } |
| 497 | |
| 498 | |
| 499 | /* |
| 500 | This is the rest of the OpenAI API support, not related to the models directly. |
| 501 | */ |
| 502 | |
| 503 | // Check if there are errors in the response from OpenAI, and throw an exception if so. |
| 504 | public function handleResponseErrors( $data ) { |
| 505 | if ( isset( $data['error'] ) ) { |
| 506 | $message = $data['error']['message']; |
| 507 | if ( preg_match( '/API key provided(: .*)\./', $message, $matches ) ) { |
| 508 | $message = str_replace( $matches[1], '', $message ); |
| 509 | } |
| 510 | throw new Exception( $message ); |
| 511 | } |
| 512 | } |
| 513 | |
| 514 | public function listFiles() |
| 515 | { |
| 516 | return $this->run( 'GET', '/files' ); |
| 517 | } |
| 518 | |
| 519 | static function getSuffixForModel($model) |
| 520 | { |
| 521 | // Legacy fine-tuned models |
| 522 | preg_match( "/:([a-zA-Z0-9\-]{1,40})-([0-9]{4})-([0-9]{2})-([0-9]{2})/", $model, $matches); |
| 523 | if ( count( $matches ) > 0 ) { |
| 524 | return $matches[1]; |
| 525 | } |
| 526 | |
| 527 | // New fine-tuned models |
| 528 | preg_match("/:([^:]+)(?=:[^:]+$)/", $model, $matches); |
| 529 | if (count($matches) > 0) { |
| 530 | return $matches[1]; |
| 531 | } |
| 532 | |
| 533 | return 'N/A'; |
| 534 | } |
| 535 | |
| 536 | static function getBaseModelForFinetune($model) |
| 537 | { |
| 538 | // New fine-tuned models |
| 539 | preg_match("/^ft:([^:]+):/", $model, $matches); |
| 540 | if (count($matches) > 0) { |
| 541 | if ( preg_match( '/^gpt-3.5/', $matches[1] ) ) { |
| 542 | return "gpt-3.5-turbo"; |
| 543 | } |
| 544 | else if ( preg_match( '/^gpt-4/', $matches[1] ) ) { |
| 545 | return "gpt-4"; |
| 546 | } |
| 547 | return $matches[1]; |
| 548 | } |
| 549 | |
| 550 | // Legacy fine-tuned models |
| 551 | preg_match('/^([a-zA-Z]{0,32}):/', $model, $matches ); |
| 552 | if ( count( $matches ) > 0 ) { |
| 553 | return $matches[1]; |
| 554 | } |
| 555 | |
| 556 | return null; |
| 557 | } |
| 558 | |
| 559 | public function listDeletedFineTunes( $legacy = false ) |
| 560 | { |
| 561 | $finetunes = $this->listFineTunes( $legacy ); |
| 562 | $deleted = []; |
| 563 | |
| 564 | foreach ( $finetunes as $finetune ) { |
| 565 | $name = $finetune['model']; |
| 566 | $isSucceeded = $finetune['status'] === 'succeeded'; |
| 567 | if ( $isSucceeded ) { |
| 568 | try { |
| 569 | $finetune = $this->getModel( $name ); |
| 570 | } |
| 571 | catch ( Exception $e ) { |
| 572 | $deleted[] = $name; |
| 573 | } |
| 574 | } |
| 575 | } |
| 576 | if ( $legacy ) { |
| 577 | $this->core->update_option( 'openai_legacy_finetunes_deleted', $deleted ); |
| 578 | } |
| 579 | else { |
| 580 | $this->core->update_option( 'openai_finetunes_deleted', $deleted ); |
| 581 | } |
| 582 | return $deleted; |
| 583 | } |
| 584 | |
| 585 | public function listModels() { |
| 586 | $res = $this->run( 'GET', '/models' ); |
| 587 | // TODO: Not used by the UI. |
| 588 | throw new Exception( 'Not implemented yet.' ); |
| 589 | } |
| 590 | |
| 591 | // TODO: This was used to retrieve the fine-tuned models, but not sure this is how we should |
| 592 | // retrieve all the models since Summer 2023, let's see! WIP. |
| 593 | public function listFineTunes( $legacy = false ) |
| 594 | { |
| 595 | if ( $legacy ) { |
| 596 | $res = $this->run( 'GET', '/fine-tunes' ); |
| 597 | } |
| 598 | else { |
| 599 | $res = $this->run( 'GET', '/fine_tuning/jobs' ); |
| 600 | } |
| 601 | $finetunes = $res['data']; |
| 602 | |
| 603 | // Add suffix |
| 604 | $finetunes = array_map( function ( $finetune ) { |
| 605 | $finetune['suffix'] = SELF::getSuffixForModel( $finetune['fine_tuned_model'] ); |
| 606 | $finetune['createdOn'] = date( 'Y-m-d H:i:s', $finetune['created_at'] ); |
| 607 | $finetune['updatedOn'] = date( 'Y-m-d H:i:s', $finetune['updated_at'] ); |
| 608 | $finetune['base_model'] = $finetune['model']; |
| 609 | $finetune['model'] = $finetune['fine_tuned_model']; |
| 610 | unset( $finetune['object'] ); |
| 611 | unset( $finetune['hyperparams'] ); |
| 612 | unset( $finetune['result_files'] ); |
| 613 | unset( $finetune['training_files'] ); |
| 614 | unset( $finetune['validation_files'] ); |
| 615 | unset( $finetune['created_at'] ); |
| 616 | unset( $finetune['updated_at'] ); |
| 617 | unset( $finetune['fine_tuned_model'] ); |
| 618 | return $finetune; |
| 619 | }, $finetunes); |
| 620 | |
| 621 | usort( $finetunes, function ( $a, $b ) { |
| 622 | return strtotime( $b['createdOn'] ) - strtotime( $a['createdOn'] ); |
| 623 | }); |
| 624 | |
| 625 | if ( $legacy ) { |
| 626 | $this->core->update_option( 'openai_legacy_finetunes', $finetunes ); |
| 627 | } |
| 628 | else { |
| 629 | $this->core->update_option( 'openai_finetunes', $finetunes ); |
| 630 | } |
| 631 | |
| 632 | return $finetunes; |
| 633 | } |
| 634 | |
| 635 | public function moderate( $input ) { |
| 636 | $result = $this->run('POST', '/moderations', [ |
| 637 | 'input' => $input |
| 638 | ]); |
| 639 | return $result; |
| 640 | } |
| 641 | |
| 642 | public function uploadFile( $filename, $data ) |
| 643 | { |
| 644 | $result = $this->run('POST', '/files', null, [ |
| 645 | 'purpose' => 'fine-tune', |
| 646 | 'data' => $data, |
| 647 | 'file' => $filename |
| 648 | ] ); |
| 649 | return $result; |
| 650 | } |
| 651 | |
| 652 | public function deleteFile( $fileId ) |
| 653 | { |
| 654 | return $this->run('DELETE', '/files/' . $fileId); |
| 655 | } |
| 656 | |
| 657 | public function getModel( $modelId ) |
| 658 | { |
| 659 | return $this->run('GET', '/models/' . $modelId); |
| 660 | } |
| 661 | |
| 662 | public function cancelFineTune( $fineTuneId ) |
| 663 | { |
| 664 | return $this->run('POST', '/fine-tunes/' . $fineTuneId . '/cancel'); |
| 665 | } |
| 666 | |
| 667 | public function deleteFineTune( $modelId ) |
| 668 | { |
| 669 | return $this->run('DELETE', '/models/' . $modelId); |
| 670 | } |
| 671 | |
| 672 | public function downloadFile( $fileId ) |
| 673 | { |
| 674 | return $this->run('GET', '/files/' . $fileId . '/content', null, null, false); |
| 675 | } |
| 676 | |
| 677 | public function fineTuneFile( $fileId, $model, $suffix, $hyperparams = [], $legacy = false ) |
| 678 | { |
| 679 | $n_epochs = isset( $hyperparams['nEpochs'] ) ? (int)$hyperparams['nEpochs'] : null; |
| 680 | $batch_size = isset( $hyperparams['batchSize'] ) ? (int)$hyperparams['batchSize'] : null; |
| 681 | $learning_rate_multiplier = isset( $hyperparams['learningRateMultiplier'] ) ? |
| 682 | (float)$hyperparams['learningRateMultiplier'] : null; |
| 683 | $prompt_loss_weight = isset( $hyperparams['promptLossWeight'] ) ? |
| 684 | (float)$hyperparams['promptLossWeight'] : null; |
| 685 | $arguments = [ |
| 686 | 'training_file' => $fileId, |
| 687 | 'model' => $model, |
| 688 | 'suffix' => $suffix |
| 689 | ]; |
| 690 | if ( $legacy ) { |
| 691 | $result = $this->run( 'POST', '/fine-tunes', $arguments ); |
| 692 | } |
| 693 | else { |
| 694 | if ( $n_epochs ) { |
| 695 | $arguments['hyperparams'] = []; |
| 696 | $arguments['hyperparams']['n_epochs'] = $n_epochs; |
| 697 | } |
| 698 | if ( $batch_size ) { |
| 699 | if ( empty( $arguments['hyperparams'] ) ) { |
| 700 | $arguments['hyperparams'] = []; |
| 701 | } |
| 702 | $arguments['hyperparams']['batch_size'] = $batch_size; |
| 703 | } |
| 704 | if ( $learning_rate_multiplier ) { |
| 705 | if ( empty( $arguments['hyperparams'] ) ) { |
| 706 | $arguments['hyperparams'] = []; |
| 707 | } |
| 708 | $arguments['hyperparams']['learning_rate_multiplier'] = $learning_rate_multiplier; |
| 709 | } |
| 710 | if ( $prompt_loss_weight ) { |
| 711 | if ( empty( $arguments['hyperparams'] ) ) { |
| 712 | $arguments['hyperparams'] = []; |
| 713 | } |
| 714 | $arguments['hyperparams']['prompt_loss_weight'] = $prompt_loss_weight; |
| 715 | } |
| 716 | if ( $model === 'turbo' ) { |
| 717 | $arguments['model'] = 'gpt-3.5-turbo'; |
| 718 | } |
| 719 | $result = $this->run( 'POST', '/fine_tuning/jobs', $arguments ); |
| 720 | } |
| 721 | return $result; |
| 722 | } |
| 723 | |
| 724 | /** |
| 725 | * Build the body of a form request. |
| 726 | * If the field name is 'file', then the field value is the filename of the file to upload. |
| 727 | * The file contents are taken from the 'data' field. |
| 728 | * |
| 729 | * @param array $fields |
| 730 | * @param string $boundary |
| 731 | * @return string |
| 732 | */ |
| 733 | public function buildFormBody( $fields, $boundary ) |
| 734 | { |
| 735 | $body = ''; |
| 736 | foreach ( $fields as $name => $value ) { |
| 737 | if ( $name == 'data' ) { |
| 738 | continue; |
| 739 | } |
| 740 | $body .= "--$boundary\r\n"; |
| 741 | $body .= "Content-Disposition: form-data; name=\"$name\""; |
| 742 | if ( $name == 'file' ) { |
| 743 | $body .= "; filename=\"{$value}\"\r\n"; |
| 744 | $body .= "Content-Type: application/json\r\n\r\n"; |
| 745 | $body .= $fields['data'] . "\r\n"; |
| 746 | } |
| 747 | else { |
| 748 | $body .= "\r\n\r\n$value\r\n"; |
| 749 | } |
| 750 | } |
| 751 | $body .= "--$boundary--\r\n"; |
| 752 | return $body; |
| 753 | } |
| 754 | |
| 755 | /** |
| 756 | * Run a request to the OpenAI API. |
| 757 | * Fore more information about the $formFields, refer to the buildFormBody method. |
| 758 | * |
| 759 | * @param string $method POST, PUT, GET, DELETE... |
| 760 | * @param string $url The API endpoint |
| 761 | * @param array $query The query parameters (json) |
| 762 | * @param array $formFields The form fields (multipart/form-data) |
| 763 | * @param bool $json Whether to return the response as json or not |
| 764 | * @return array |
| 765 | */ |
| 766 | public function run( $method, $url, $query = null, $formFields = null, $json = true ) |
| 767 | { |
| 768 | $apiKey = $this->localApiKey; |
| 769 | $headers = "Content-Type: application/json\r\n" . "Authorization: Bearer " . $apiKey . "\r\n"; |
| 770 | $body = $query ? json_encode( $query ) : null; |
| 771 | if ( !empty( $formFields ) ) { |
| 772 | $boundary = wp_generate_password (24, false ); |
| 773 | $headers = [ |
| 774 | 'Content-Type' => 'multipart/form-data; boundary=' . $boundary, |
| 775 | 'Authorization' => 'Bearer ' . $this->localApiKey, |
| 776 | ]; |
| 777 | $body = $this->buildFormBody( $formFields, $boundary ); |
| 778 | } |
| 779 | |
| 780 | $url = 'https://api.openai.com/v1' . $url; |
| 781 | $options = [ |
| 782 | "headers" => $headers, |
| 783 | "method" => $method, |
| 784 | "timeout" => MWAI_TIMEOUT, |
| 785 | "body" => $body, |
| 786 | "sslverify" => false |
| 787 | ]; |
| 788 | |
| 789 | try { |
| 790 | $response = wp_remote_request( $url, $options ); |
| 791 | if ( is_wp_error( $response ) ) { |
| 792 | throw new Exception( $response->get_error_message() ); |
| 793 | } |
| 794 | $response = wp_remote_retrieve_body( $response ); |
| 795 | $data = $json ? json_decode( $response, true ) : $response; |
| 796 | $this->handleResponseErrors( $data ); |
| 797 | return $data; |
| 798 | } |
| 799 | catch ( Exception $e ) { |
| 800 | error_log( $e->getMessage() ); |
| 801 | throw new Exception( $e->getMessage() . " (OpenAI)" ); |
| 802 | } |
| 803 | } |
| 804 | |
| 805 | static public function get_openai_models() { |
| 806 | return apply_filters( 'mwai_openai_models', MWAI_OPENAI_MODELS ); |
| 807 | } |
| 808 | |
| 809 | private function calculatePrice( $modelFamily, $inUnits, $outUnits, $option = null, $finetune = false ) |
| 810 | { |
| 811 | // For fine-tuned models: |
| 812 | $potentialBaseModel = SELF::getBaseModelForFinetune( $modelFamily ); |
| 813 | if ( !empty( $potentialBaseModel ) ) { |
| 814 | $modelFamily = $potentialBaseModel; |
| 815 | $finetune = true; |
| 816 | } |
| 817 | |
| 818 | $openai_models = Meow_MWAI_Engines_OpenAI::get_openai_models(); |
| 819 | foreach ( $openai_models as $currentModel ) { |
| 820 | if ( $currentModel['model'] === $modelFamily || ( $finetune && $currentModel['family'] === $modelFamily ) ) { |
| 821 | if ( $currentModel['type'] === 'image' ) { |
| 822 | if ( !$option ) { |
| 823 | error_log( "AI Engine: Image models require an option." ); |
| 824 | return null; |
| 825 | } |
| 826 | else { |
| 827 | foreach ( $currentModel['options'] as $imageType ) { |
| 828 | if ( $imageType['option'] == $option ) { |
| 829 | return $imageType['price'] * $outUnits; |
| 830 | } |
| 831 | } |
| 832 | } |
| 833 | } |
| 834 | else { |
| 835 | if ( $finetune ) { |
| 836 | |
| 837 | if ( isset( $currentModel['finetune']['price'] ) ) { |
| 838 | $currentModel['price'] = $currentModel['finetune']['price']; |
| 839 | } |
| 840 | else if ( isset( $currentModel['finetune']['in'] ) ) { |
| 841 | $currentModel['price'] = [ |
| 842 | 'in' => $currentModel['finetune']['in'], |
| 843 | 'out' => $currentModel['finetune']['out'] |
| 844 | ]; |
| 845 | } |
| 846 | } |
| 847 | $inPrice = $currentModel['price']; |
| 848 | $outPrice = $currentModel['price']; |
| 849 | if ( is_array( $currentModel['price'] ) ) { |
| 850 | $inPrice = $currentModel['price']['in']; |
| 851 | $outPrice = $currentModel['price']['out']; |
| 852 | } |
| 853 | $inTotalPrice = $inPrice * $currentModel['unit'] * $inUnits; |
| 854 | $outTotalPrice = $outPrice * $currentModel['unit'] * $outUnits; |
| 855 | return $inTotalPrice + $outTotalPrice; |
| 856 | } |
| 857 | } |
| 858 | } |
| 859 | error_log( "AI Engine: Invalid model ($modelFamily)." ); |
| 860 | return null; |
| 861 | } |
| 862 | |
| 863 | public function getPrice( Meow_MWAI_Query_Base $query, Meow_MWAI_Reply $reply ) |
| 864 | { |
| 865 | $model = $query->model; |
| 866 | $units = 0; |
| 867 | $option = null; |
| 868 | |
| 869 | $finetune = false; |
| 870 | if ( is_a( $query, 'Meow_MWAI_Query_Text' ) ) { |
| 871 | if ( preg_match('/^([a-zA-Z]{0,32}):/', $model, $matches ) ) { |
| 872 | $finetune = true; |
| 873 | } |
| 874 | $inUnits = $reply->getPromptTokens(); |
| 875 | $outUnits = $reply->getCompletionTokens(); |
| 876 | return $this->calculatePrice( $model, $inUnits, $outUnits, $option, $finetune ); |
| 877 | } |
| 878 | else if ( is_a( $query, 'Meow_MWAI_Query_Image' ) ) { |
| 879 | $model = 'dall-e'; |
| 880 | $units = $query->maxResults; |
| 881 | $option = "1024x1024"; |
| 882 | return $this->calculatePrice( $model, 0, $units, $option, $finetune ); |
| 883 | } |
| 884 | else if ( is_a( $query, 'Meow_MWAI_Query_Transcribe' ) ) { |
| 885 | $model = 'whisper'; |
| 886 | $units = $reply->getUnits(); |
| 887 | return $this->calculatePrice( $model, 0, $units, $option, $finetune ); |
| 888 | } |
| 889 | else if ( is_a( $query, 'Meow_MWAI_Query_Embed' ) ) { |
| 890 | $units = $reply->getTotalTokens(); |
| 891 | return $this->calculatePrice( $model, 0, $units, $option, $finetune ); |
| 892 | } |
| 893 | error_log("AI Engine: Cannot calculate price for $model."); |
| 894 | return null; |
| 895 | } |
| 896 | |
| 897 | public function getIncidents() { |
| 898 | $url = 'https://status.openai.com/history.rss'; |
| 899 | $response = wp_remote_get( $url ); |
| 900 | if ( is_wp_error( $response ) ) { |
| 901 | throw new Exception( $response->get_error_message() ); |
| 902 | } |
| 903 | $response = wp_remote_retrieve_body( $response ); |
| 904 | $xml = simplexml_load_string( $response ); |
| 905 | $incidents = array(); |
| 906 | $oneWeekAgo = time() - 5 * 24 * 60 * 60; |
| 907 | foreach ( $xml->channel->item as $item ) { |
| 908 | $date = strtotime( $item->pubDate ); |
| 909 | if ( $date > $oneWeekAgo ) { |
| 910 | $incidents[] = array( |
| 911 | 'title' => (string) $item->title, |
| 912 | 'description' => (string) $item->description, |
| 913 | 'date' => $date |
| 914 | ); |
| 915 | } |
| 916 | } |
| 917 | return $incidents; |
| 918 | } |
| 919 | } |
| 920 |